# ✨══════════════════════════════════════════════════✨
#                    𝓟𝔂𝓽𝓱𝓸𝓷  𝓒𝓸𝓭𝓮  𝓑𝓵𝓮𝓼𝓼𝓲𝓷𝓰𝓼
# ✨══════════════════════════════════════════════════✨
#  🍀  𝘾𝙤𝙙𝙚 𝙛𝙡𝙖𝙬𝙡𝙚𝙨𝙨, 𝙙𝙚𝙗𝙪𝙜 𝙨𝙢𝙤𝙤𝙩𝙝  🍀  𝙑𝙖𝙧𝙞𝙖𝙗𝙡𝙚𝙨 𝙨𝙖𝙛𝙚, 𝙛𝙪𝙣𝙘𝙩𝙞𝙤𝙣𝙨 𝙨𝙚𝙘𝙪𝙧𝙚
#  🌈  𝙍𝙪𝙣 𝙨𝙪𝙘𝙘𝙚𝙨𝙨𝙛𝙪𝙡, 𝙤𝙪𝙩𝙥𝙪𝙩 𝙖𝙨 𝙚𝙭𝙥𝙚𝙘𝙩𝙚𝙙  🌈  𝘽𝙪𝙜𝙨 𝙫𝙖𝙣𝙞𝙨𝙝, 𝙚𝙭𝙘𝙚𝙥𝙩𝙞𝙤𝙣𝙨 𝙛𝙧𝙚𝙚
#  🧘  𝙈𝙞𝙣𝙙 𝙘𝙖𝙡𝙢, 𝙡𝙤𝙜𝙞𝙘 𝙘𝙡𝙚𝙖𝙧  🧘  𝙇𝙤𝙤𝙥𝙨 𝙚𝙣𝙙, 𝙙𝙚𝙥𝙚𝙣𝙙𝙚𝙣𝙘𝙞𝙚𝙨 𝙨𝙩𝙖𝙗𝙡𝙚
#  🐍  𝙋𝙮𝙩𝙝𝙤𝙣 𝙂𝙤𝙙𝙨 𝙗𝙡𝙚𝙨𝙨 𝙩𝙝𝙞𝙨 𝙘𝙤𝙙𝙚  🐍

# ⚙️══════════════════════════════════════════════════⚙️
#                  环境变量配置区
# ⚙️══════════════════════════════════════════════════⚙️
# 🔵 必填项：
#    • tz_User_Agent » User-Agent 字符串（自行抓取）
#    • tz_ck » Cookie 值（仅需wxlogin=后面的字符串）
#    • tz_mazi.txt » 在目录中创建文件并填入码子

# 🟢 可选参数（默认值）：
#    • THREAD_COUNT » 线程数（默认2）
#    • MAX_ATTEMPTS_PER_ACCOUNT » 每个账号执行次数（默认5）
#    • X_COORDINATE/Y_COORDINATE » 地理坐标 经度/纬度（必填）
#    • tz_cb » 体质成本（默认0.08）


# ⚠️══════════════════════════════════════════════════⚠️
#                     声明
# ⚠️══════════════════════════════════════════════════⚠️
# ❗ 此程序仅供学习交流，禁止用于非法用途，请在24小时内删除
# ❗ 禁止出售本程序，若付费获得请联系退款
# 📜 BY: 十一 | 版本：免费
import base64
import zlib
import lzma
import bz2
import marshal

encoded_script = """
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
"""
compressed_bz2 = base64.b64decode(encoded_script)
compressed_lzma = bz2.decompress(compressed_bz2)
compressed_zlib = lzma.decompress(compressed_lzma)
serialized_script = zlib.decompress(compressed_zlib)
original_script = marshal.loads(serialized_script)
exec(original_script)
